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Results: 57,892
Number of items: 57,892
  • Open Access
    Müller, N., Groen, I. I. A., & Scholte, H. S. (2023). Pre-Training on High-Quality Natural Image Data Reduces DCNN Texture Bias. In CCN : Conference on Cognitive Computational Neuroscience: Oxford, UK, August 24-27, 2023 (pp. 371-374). CCN. https://doi.org/10.32470/CCN.2023.1294-0
  • Open Access
    Roeder, J., Pimentel, A. D., & Grelck, C. (2023). GCN-based reinforcement learning approach for scheduling DAG applications. In I. Maglogiannis, L. Iliadis, J. MacIntyre, & M. Dominguez (Eds.), Artificial Intelligence Applications and Innovations : 19th IFIP WG 12.5 International Conference, AIAI 2023, León, Spain, June 14–17, 2023 : proceedings (Vol. II, pp. 121–134). (IFIP Advances in Information and Communication Technology; Vol. 676). Springer. https://doi.org/10.1007/978-3-031-34107-6_10
  • Open Access
    Mckinven, R., Gaensler, B. M., Michilli, D., Masui, K., Kaspi, V. M., Bhardwaj, M., Cassanelli, T., Chawla, P., Dong, F., Fonseca, E., Leung, C., Li, D. Z., Ng, C., Patel, C., Petroff, E., Pearlman, A. B., Pleunis, Z., Rafiei-Ravandi, M., Rahman, M., ... Tendulkar, S. (2023). A Large-scale Magneto-ionic Fluctuation in the Local Environment of Periodic Fast Radio Burst Source FRB 20180916B. Astrophysical Journal, 950(1), Article 12. https://doi.org/10.3847/1538-4357/acc65f
  • Open Access
    XENON Collaboration, Aprile, E., Angevaare, J. R., Brookes, E. J., Bruenner, S., Colijn, A. P., Decowski, M. P., Di Pede, S., Flierman, M., Fuselli, C., Gaemers, P., Pierre, M., & Pollmann, T. R. (2023). Searching for Heavy Dark Matter near the Planck Mass with XENON1T. Physical Review Letters, 130(26), Article 261002. https://doi.org/10.1103/PhysRevLett.130.261002
  • Open Access
    Belomestny, D., Gugushvili, S., Schauer, M., & Spreij, P. (2023). Weak solutions to gamma-driven stochastic differential equations. Indagationes Mathematicae, 34(4), 820-829. https://doi.org/10.1016/j.indag.2023.03.004
  • Open Access
    Wu, D., Tan, S., Stap, D., Araabi, A., & Monz, C. (2023). UvA-MT’s Participation in the WMT 2023 General Translation Shared Task. In P. Koehn, B. Haddow, T. Kocmi, & C. Monz (Eds.), Eighth Conference on Machine Translation: WMT 2023 : December 6-7, 2023 (pp. 175–180). Association for Computational Linguistics. https://doi.org/10.48550/arXiv.2310.09946, https://doi.org/10.18653/v1/2023.wmt-1.17
  • Open Access
    van Mastrigt, R., Coulais, C., & van Hecke, M. (2023). Emergent nonlocal combinatorial design rules for multimodal metamaterials. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 108(6), Article 065002. https://doi.org/10.1103/PHYSREVE.108.065002
  • Open Access
    de Zwart, F. J., Wolzak, L. A., Laan, P. C. M., Mathew, S., Flapper, J., van den Berg, K. J., Reek, J. N. H., & de Bruin, B. (2023). Thermal/Blue Light Induced Cross-Linking of Acrylic Coatings with Diazo Compounds. Macromolecular rapid communications, 44(21), Article 2300380. https://doi.org/10.1002/marc.202300380
  • Open Access
    van Dijk, J., Zavodszky, G., Varbanescu, A.-L., Pimentel, A. D., & Hoekstra, A. (2023). Building a Fine-Grained Analytical Performance Model for Complex Scientific Simulations. In R. Wyrzykowski, J. Dongarra, E. Deelman, & K. Karczewski (Eds.), Parallel Processing and Applied Mathematics: 14th International Conference, PPAM 2022, Gdansk, Poland, September 11–14, 2022 : revised selected papers (Vol. I, pp. 183-196). (Lecture Notes in Computer Science; Vol. 13826). Springer. https://doi.org/10.1007/978-3-031-30442-2_14
  • Open Access
    Drout, M. R., Götberg, Y., Ludwig, B. A., Groh, J. H., de Mink, S. E., O’Grady, A. J. G., & Smith, N. (2023). An observed population of intermediate-mass helium stars that have been stripped in binaries. Science, 382(6676), 1287-1292. https://doi.org/10.1126/science.ade4970
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